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A New Concurrent Calibration Method for Nonequivalent Group Design under Nonrandom Assignment

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Author Info

  • Kei Miyazaki
  • Takahiro Hoshino

    ()

  • Shin-ichi Mayekawa
  • Kazuo Shigemasu
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    Abstract

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    File URL: http://hdl.handle.net/10.1007/s11336-008-9076-x
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    Bibliographic Info

    Article provided by Springer in its journal Psychometrika.

    Volume (Year): 74 (2009)
    Issue (Month): 1 (March)
    Pages: 1-19

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    Handle: RePEc:spr:psycho:v:74:y:2009:i:1:p:1-19

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    Web page: http://www.springerlink.com/link.asp?id=112911

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    Related research

    Keywords: common-item design; concurrent calibration; IRT linking; item response theory; Monte Carlo expectation maximization (MCEM) algorithm; multinomial logistic regression model; nonignorable missingness;

    References

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    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    1. Hoshino, Takahiro, 2008. "A Bayesian propensity score adjustment for latent variable modeling and MCMC algorithm," Computational Statistics & Data Analysis, Elsevier, vol. 52(3), pages 1413-1429, January.
    2. Takahiro Hoshino & Hiroshi Kurata & Kazuo Shigemasu, 2006. "A Propensity Score Adjustment for Multiple Group Structural Equation Modeling," Psychometrika, Springer, vol. 71(4), pages 691-712, December.
    3. Takahiro Hoshino, 2007. "Doubly Robust-Type Estimation for Covariate Adjustment in Latent Variable Modeling," Psychometrika, Springer, vol. 72(4), pages 535-549, December.
    4. Frederic Lord, 1974. "Estimation of latent ability and item parameters when there are omitted responses," Psychometrika, Springer, vol. 39(2), pages 247-264, June.
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    Cited by:
    1. Sandip Sinharay & Paul Holland, 2010. "The Missing Data Assumptions of the NEAT Design and their Implications for Test Equating," Psychometrika, Springer, vol. 75(2), pages 309-327, June.

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